Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning

What you'll do

• Develop control and learning algorithms for humanoid locomotion, whole-body control, motion generation, and sim-to-real transfer.
• Help set technical direction, identify and prioritize engineering problems, and coordinate across simulation, software, hardware, AI, data, and China-based teams.
• Mentor engineers through design and code reviews, experiments, and technical discussions.

What they ask for

• Master’s or Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• 5+ years of relevant experience in reinforcement learning, robotics, robot learning, control systems, or related areas.
• Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control.
• Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, or imitation learning.

Nice to have

• Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI.
• Experience technically leading projects or mentoring engineers; hands-on experience with legged robot control, testing, or operation.

Pay

$215,280-$364,320 USD base salary

Tools

PPO, SAC, behavior cloning, diffusion policies

AI focus

Develop robot learning and control algorithms for humanoid locomotion, whole-body motion, and sim-to-real transfer.